The importance of eye gaze and head pose to estimating levels of attention

Asteriadis, S; Karpouzis, K; Kollias, S

dc.contributor.author	Asteriadis, S	en
dc.contributor.author	Karpouzis, K	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T02:47:29Z
dc.date.available	2014-03-01T02:47:29Z
dc.date.issued	2011	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/33177
dc.subject	Eye gaze estimation	en
dc.subject	Head pose estimation	en
dc.subject	User attention estimation	en
dc.subject	User modelling	en
dc.subject.other	AI systems	en
dc.subject.other	Attention level	en
dc.subject.other	Behavioral state	en
dc.subject.other	Data sets	en
dc.subject.other	Eye-gaze	en
dc.subject.other	Facial feature	en
dc.subject.other	Game design	en
dc.subject.other	Game playing	en
dc.subject.other	Head pose	en
dc.subject.other	Head Pose Estimation	en
dc.subject.other	Head rotation	en
dc.subject.other	Human perception	en
dc.subject.other	Non-intrusive	en
dc.subject.other	Overall estimation	en
dc.subject.other	Personal profile	en
dc.subject.other	Spatial location	en
dc.subject.other	User attention	en
dc.subject.other	User Modelling	en
dc.subject.other	Estimation	en
dc.subject.other	Rotation	en
dc.subject.other	Social networking (online)	en
dc.subject.other	Virtual reality	en
dc.subject.other	Motion estimation	en
dc.title	The importance of eye gaze and head pose to estimating levels of attention	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/VS-GAMES.2011.38	en
heal.identifier.secondary	http://dx.doi.org/10.1109/VS-GAMES.2011.38	en
heal.identifier.secondary	5962089	en
heal.publicationDate	2011	en
heal.abstract	This paper explores, from a theoretical and technical point of view, the role of head rotation and eye gaze directionality to the human perception of attention from nonverbal cues. We have annotated two different versions of the same dataset, in order to correlate the above parameters with the degree people have considered people in the dataset pay attention to a hypothetical task they have in front of them. Based on our findings, we investigate the role of eye gaze directionality in relation to head rotations and, based on previous studies, we developed an algorithm for estimating attention levels from head pose, eye gaze and facial feature spatial locations. With the help of our AI system and people's annotation, we have made a first attempt towards quantifying the role of each cue to the overall estimation of attention. One of the important properties of the technical part of this work is that all systems we used were non-intrusive and did not demand any personal training or calibration phase, constituting themselves ideal for Game playing. Knowing the behavioral state of a player can be of vital importance for adapting the game design during interaction, or building personal profiles, leading to appropriate game features aiming at maximizing player satisfaction. © 2011 IEEE.	en
heal.journalName	Proceedings - 2011 3rd International Conferenceon Games and Virtual Worlds for Serious Applications, VS-Games 2011	en
dc.identifier.doi	10.1109/VS-GAMES.2011.38	en
dc.identifier.spage	186	en
dc.identifier.epage	191	en